Institutional Repository of Key Laboratory of Behavioral Science, CAS
Discrepant implicit and explicit attitudes toward climate change: implications for climate change communications | |
Gong, Yuanchao1,2; Wang, Shuai3,4; Li, Yang5![]() ![]() | |
第一作者 | Yuanchao Gong |
通讯作者邮箱 | suny@psych.ac.cn (yan sun) |
心理所单位排序 | 1 |
摘要 | In order to better engage individuals in the progress of carbon neutrality, public attitude toward the issue of climate change is a fundamental question. In recent decades, burgeoning research has implied the distinctive effect of implicit attitude on behaviors from explicit attitude. However, the majority of research on attitudes toward climate change has focused on explicit attitude. This research fills this gap by exploring individuals' implicit attitudes toward climate change in two aspects-overall evaluation (positive or negative) and attribution of (anthropogenic or natural progress) climate change, which are among the most concerned dimensions in the study of individuals' attitudes toward climate change, and we compared implicit attitudes with explicit attitudes in these two dimensions. The Implicit Association Test (IAT) and its modification, the Single Category Implicit Association Test (SC-IAT), were applied to measure implicit attitudes. Our results show that participants implicitly think of climate change as human-induced, corresponding with explicit attitudes; however, they express indifference to climate change as manifested by neutral implicit evaluation, contrary to the negative evaluation in the explicit attitude test. This indifferent implicit attitude should inspire policymakers to focus not only on regular knowledge communication but also on an emotional and personal way to induce true concern for climate change amongst the public. |
关键词 | Climate change attitude Implicit attitude Explicit attitude Implicit association test Single-category implicit association test |
2023-05-01 | |
语种 | 英语 |
DOI | 10.1007/s11625-023-01320-5 |
发表期刊 | SUSTAINABILITY SCIENCE
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ISSN | 1862-4065 |
卷号 | 18期号:3页码:1367-1377 |
期刊论文类型 | 综述 |
收录类别 | SCI |
资助项目 | Major Project of the National Social Science Foundation of China ; Scientific Foundation of the Institute of Psychology ; Chinese Academy of Sciences[19ZDA107] ; CAS Engineering Laboratory for Psychological Service[E2CX3315CX] ; [KFJ-PTXM-29] |
出版者 | SPRINGER JAPAN KK |
WOS关键词 | ASSOCIATION TEST ; CHANGE RISK ; IMAGE ASSOCIATIONS ; UNITED-STATES ; PERCEPTION ; SUPPORT ; METAANALYSES ; DETERMINANTS ; SKEPTICISM ; BARRIERS |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
WOS类目 | Green & Sustainable Science & Technology ; Environmental Sciences |
WOS记录号 | WOS:001118620200001 |
WOS分区 | Q1 |
资助机构 | Major Project of the National Social Science Foundation of China ; Scientific Foundation of the Institute of Psychology ; Chinese Academy of Sciences ; CAS Engineering Laboratory for Psychological Service |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.psych.ac.cn/handle/311026/46633 |
专题 | 中国科学院行为科学重点实验室 |
通讯作者 | Sun, Yan |
作者单位 | 1.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Dept Psychol, Beijing 100049, Peoples R China 3.Southwest Univ, Fac Psychol, Chongqing 400715, Peoples R China 4.Southwest Univ, Key Lab Cognit & Personal, Minist Educ, Chongqing 400715, Peoples R China 5.Beijing Technol & Business Univ, Sch Business, Beijing 100048, Peoples R China |
第一作者单位 | 中国科学院行为科学重点实验室 |
通讯作者单位 | 中国科学院行为科学重点实验室 |
推荐引用方式 GB/T 7714 | Gong, Yuanchao,Wang, Shuai,Li, Yang,et al. Discrepant implicit and explicit attitudes toward climate change: implications for climate change communications[J]. SUSTAINABILITY SCIENCE,2023,18(3):1367-1377. |
APA | Gong, Yuanchao,Wang, Shuai,Li, Yang,&Sun, Yan.(2023).Discrepant implicit and explicit attitudes toward climate change: implications for climate change communications.SUSTAINABILITY SCIENCE,18(3),1367-1377. |
MLA | Gong, Yuanchao,et al."Discrepant implicit and explicit attitudes toward climate change: implications for climate change communications".SUSTAINABILITY SCIENCE 18.3(2023):1367-1377. |
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